Overview

Dataset statistics

Number of variables20
Number of observations250
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.2 KiB
Average record size in memory160.5 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:47:52.986887
Analysis finished2020-08-25 00:48:47.982909
Duration55 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz5 is highly correlated with oz3High correlation
oz3 is highly correlated with oz5High correlation
oz9 has unique values Unique
oz17 has unique values Unique
oz1 has unique values Unique
oz24 has unique values Unique
oz12 has unique values Unique
oz10 has unique values Unique
oz14 has unique values Unique
oz2 has unique values Unique
oz23 has unique values Unique
oz6 has unique values Unique
oz3 has unique values Unique
oz13 has unique values Unique
oz16 has unique values Unique
oz4 has unique values Unique
oz5 has unique values Unique
oz21 has unique values Unique
oz18 has unique values Unique
oz22 has unique values Unique
oz19 has unique values Unique
target has unique values Unique

Variables

oz9
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.197951751829578e-10
Minimum-1.7007533311843872
Maximum1.6997723579406738
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:48:48.029873image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.700753331
5-th percentile-1.573693281
Q1-0.8510308862
median0.05931181833
Q30.8846917897
95-th percentile1.52777735
Maximum1.699772358
Range3.400525689
Interquartile range (IQR)1.735722676

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-1613436247
Kurtosis-1.240706696
Mean-6.197951752e-10
Median Absolute Deviation (MAD)0.8678437471
Skewness-0.02251467853
Sum-1.549487938e-07
Variance1.000000002
2020-08-25T00:48:48.133162image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.83203065410.4%
 
0.585415422910.4%
 
1.25618803510.4%
 
0.276269137910.4%
 
0.794594168710.4%
 
0.20918971310.4%
 
0.899567544510.4%
 
1.3245233310.4%
 
-0.667962253110.4%
 
-0.0913271978510.4%
 
0.595850110110.4%
 
1.67607331310.4%
 
0.396583110110.4%
 
-0.894184827810.4%
 
1.39188182410.4%
 
-0.502092063410.4%
 
0.865344703210.4%
 
-0.28424805410.4%
 
-1.13015103310.4%
 
-0.349890828110.4%
 
1.10097563310.4%
 
-0.887331664610.4%
 
-0.7193605910.4%
 
0.945433974310.4%
 
-1.50804972610.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.70075333110.4%
 
-1.69542467610.4%
 
-1.69131565110.4%
 
-1.68706762810.4%
 
-1.68429517710.4%
 
-1.66814744510.4%
 
-1.66105341910.4%
 
-1.6325380810.4%
 
-1.62010836610.4%
 
-1.60694181910.4%
 
ValueCountFrequency (%) 
1.69977235810.4%
 
1.67607331310.4%
 
1.66050231510.4%
 
1.65150868910.4%
 
1.63933014910.4%
 
1.62795591410.4%
 
1.60252153910.4%
 
1.59935152510.4%
 
1.59525322910.4%
 
1.57979655310.4%
 

oz17
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.719702366566935e-09
Minimum-1.7587757110595703
Maximum1.7697916030883791
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:48:48.251661image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.758775711
5-th percentile-1.607385278
Q1-0.8216726929
median0.008799704956
Q30.7664708048
95-th percentile1.615017158
Maximum1.769791603
Range3.528567314
Interquartile range (IQR)1.588143498

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)268838714.7
Kurtosis-1.067006672
Mean3.719702367e-09
Median Absolute Deviation (MAD)0.7886455357
Skewness-0.03251396121
Sum9.299255916e-07
Variance1.000000007
2020-08-25T00:48:48.354981image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.08732926810.4%
 
1.22882640410.4%
 
-1.01306736510.4%
 
0.696962475810.4%
 
-0.149702504310.4%
 
0.577812850510.4%
 
-0.0712061449910.4%
 
1.0844917310.4%
 
1.42191195510.4%
 
-1.7021193510.4%
 
0.0134257273710.4%
 
1.73698663710.4%
 
-0.470624327710.4%
 
-0.0886426940610.4%
 
-1.70128762710.4%
 
-1.38996326910.4%
 
0.827757358610.4%
 
-0.165359422610.4%
 
0.0667300522310.4%
 
-0.579735159910.4%
 
0.22928406310.4%
 
0.0891291052110.4%
 
1.52860331510.4%
 
-1.46512174610.4%
 
0.500620067110.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.75877571110.4%
 
-1.73070561910.4%
 
-1.72195744510.4%
 
-1.72142422210.4%
 
-1.71062159510.4%
 
-1.7021193510.4%
 
-1.70128762710.4%
 
-1.69236373910.4%
 
-1.65403592610.4%
 
-1.64470589210.4%
 
ValueCountFrequency (%) 
1.76979160310.4%
 
1.76345491410.4%
 
1.74951934810.4%
 
1.74723243710.4%
 
1.73731505910.4%
 
1.73698663710.4%
 
1.71562862410.4%
 
1.70421695710.4%
 
1.6848843110.4%
 
1.66015720410.4%
 

oz1
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.645196557044983e-09
Minimum-2.357684850692749
Maximum2.136380672454834
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:48:48.471285image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.357684851
5-th percentile-1.495136237
Q1-0.7788459063
median-0.03805556893
Q30.810361743
95-th percentile1.566052794
Maximum2.136380672
Range4.494065523
Interquartile range (IQR)1.589207649

Descriptive statistics

Standard deviation0.9999999973
Coefficient of variation (CV)274333628.3
Kurtosis-0.7580954619
Mean3.645196557e-09
Median Absolute Deviation (MAD)0.7828417122
Skewness0.03306494939
Sum9.112991393e-07
Variance0.9999999946
2020-08-25T00:48:48.574075image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.160766422710.4%
 
1.31504845610.4%
 
-0.385095149310.4%
 
-0.449557036210.4%
 
-1.24154305510.4%
 
-0.642168164310.4%
 
-1.49153697510.4%
 
-0.209406986810.4%
 
0.0336404293810.4%
 
0.0409950055210.4%
 
1.01726293610.4%
 
-1.23350119610.4%
 
-1.02862954110.4%
 
0.356033980810.4%
 
-0.407059133110.4%
 
0.824370026610.4%
 
0.508816063410.4%
 
-0.943021416710.4%
 
-0.571966826910.4%
 
-0.184362366810.4%
 
0.00647083111110.4%
 
0.424386411910.4%
 
-1.22195696810.4%
 
1.1272282610.4%
 
1.08718717110.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-2.35768485110.4%
 
-2.27627205810.4%
 
-1.99021601710.4%
 
-1.94306731210.4%
 
-1.92747294910.4%
 
-1.88954341410.4%
 
-1.8691941510.4%
 
-1.81065070610.4%
 
-1.70068025610.4%
 
-1.61282265210.4%
 
ValueCountFrequency (%) 
2.13638067210.4%
 
2.12489557310.4%
 
2.03938579610.4%
 
2.02817964610.4%
 
2.01071023910.4%
 
1.9129755510.4%
 
1.89318835710.4%
 
1.8576607710.4%
 
1.83050370210.4%
 
1.76909959310.4%
 

oz24
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.4139881116269637e-09
Minimum-1.6555596590042114
Maximum1.6783376932144165
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:48:48.687759image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.655559659
5-th percentile-1.471332169
Q1-0.9269825816
median0.1375742629
Q30.8083180636
95-th percentile1.478689736
Maximum1.678337693
Range3.333897352
Interquartile range (IQR)1.735300645

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)-414252248.6
Kurtosis-1.317964683
Mean-2.413988112e-09
Median Absolute Deviation (MAD)0.8911988661
Skewness-0.03387252206
Sum-6.034970279e-07
Variance1.000000007
2020-08-25T00:48:48.795403image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.347167700510.4%
 
-1.55598878910.4%
 
-0.324068188710.4%
 
-1.31287133710.4%
 
0.689500272310.4%
 
0.56805378210.4%
 
0.639829933610.4%
 
-0.813168227710.4%
 
-0.250380843910.4%
 
1.18519294310.4%
 
0.515458941510.4%
 
-1.21421015310.4%
 
-1.40209126510.4%
 
1.47982597410.4%
 
-0.810222864210.4%
 
0.651507496810.4%
 
0.490405112510.4%
 
-0.644203901310.4%
 
-0.835120499110.4%
 
-0.591954588910.4%
 
-0.387772083310.4%
 
1.43096005910.4%
 
1.23368895110.4%
 
0.779618263210.4%
 
-1.65555965910.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.65555965910.4%
 
-1.64200687410.4%
 
-1.62472975310.4%
 
-1.62336528310.4%
 
-1.60972964810.4%
 
-1.5670907510.4%
 
-1.55598878910.4%
 
-1.53346514710.4%
 
-1.5323278910.4%
 
-1.51353514210.4%
 
ValueCountFrequency (%) 
1.67833769310.4%
 
1.67753672610.4%
 
1.67439901810.4%
 
1.61857318910.4%
 
1.59396934510.4%
 
1.57691729110.4%
 
1.57583773110.4%
 
1.5687565810.4%
 
1.52308893210.4%
 
1.51406574210.4%
 

oz12
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6656704246997833e-09
Minimum-1.7873169183731081
Maximum1.723741888999939
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:48:48.913064image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.787316918
5-th percentile-1.586311686
Q1-0.7575526983
median-0.06338243
Q30.8924023807
95-th percentile1.544851905
Maximum1.723741889
Range3.511058807
Interquartile range (IQR)1.649955079

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)600358862.2
Kurtosis-1.131741312
Mean1.665670425e-09
Median Absolute Deviation (MAD)0.8270686567
Skewness0.03610429543
Sum4.164176062e-07
Variance1.000000002
2020-08-25T00:48:49.019210image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.387939244510.4%
 
0.763821661510.4%
 
-1.02474749110.4%
 
-0.152995556610.4%
 
0.308409124610.4%
 
0.00917607266510.4%
 
-0.57828676710.4%
 
-1.152664910.4%
 
0.466637343210.4%
 
1.2584546810.4%
 
1.53156375910.4%
 
1.54363691810.4%
 
-0.110981002410.4%
 
0.383476674610.4%
 
1.45380008210.4%
 
1.08037710210.4%
 
-0.569950044210.4%
 
-0.0996888950510.4%
 
-1.36534786210.4%
 
0.508935749510.4%
 
-1.07547938810.4%
 
-0.277901798510.4%
 
0.00568116921910.4%
 
1.55600178210.4%
 
-0.379950344610.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.78731691810.4%
 
-1.78074395710.4%
 
-1.7655631310.4%
 
-1.75706052810.4%
 
-1.75047683710.4%
 
-1.73970556310.4%
 
-1.72356402910.4%
 
-1.65737748110.4%
 
-1.63212895410.4%
 
-1.60674452810.4%
 
ValueCountFrequency (%) 
1.72374188910.4%
 
1.71311581110.4%
 
1.71148276310.4%
 
1.70825684110.4%
 
1.69138395810.4%
 
1.68296861610.4%
 
1.68139123910.4%
 
1.66015815710.4%
 
1.63825964910.4%
 
1.5956797610.4%
 

oz10
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.1585652845980122e-09
Minimum-1.7307353019714355
Maximum1.666967272758484
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:48:49.137210image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.730735302
5-th percentile-1.552030206
Q1-0.8547634929
median0.0313642621
Q30.853769213
95-th percentile1.549805927
Maximum1.666967273
Range3.397702575
Interquartile range (IQR)1.708532706

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-863136514.8
Kurtosis-1.224606652
Mean-1.158565285e-09
Median Absolute Deviation (MAD)0.8366151154
Skewness-0.02189970136
Sum-2.896413211e-07
Variance1.000000004
2020-08-25T00:48:49.241214image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.29961085310.4%
 
0.438301831510.4%
 
0.516284406210.4%
 
0.802538931410.4%
 
1.0012874610.4%
 
-1.16571402510.4%
 
0.6588416110.4%
 
1.3499056110.4%
 
0.489575773510.4%
 
-1.16769373410.4%
 
0.0535064525910.4%
 
0.194616243210.4%
 
0.601216673910.4%
 
-0.258088886710.4%
 
1.08621740310.4%
 
-0.537808418310.4%
 
0.562127292210.4%
 
-0.978380620510.4%
 
1.42995512510.4%
 
1.10323774810.4%
 
0.0671551972610.4%
 
-0.581674158610.4%
 
-0.776009142410.4%
 
-0.624271690810.4%
 
-1.56665825810.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.73073530210.4%
 
-1.6768953810.4%
 
-1.67434966610.4%
 
-1.66857802910.4%
 
-1.65868127310.4%
 
-1.65807592910.4%
 
-1.65732395610.4%
 
-1.63832485710.4%
 
-1.61784815810.4%
 
-1.58504414610.4%
 
ValueCountFrequency (%) 
1.66696727310.4%
 
1.65744900710.4%
 
1.65470731310.4%
 
1.64209449310.4%
 
1.6413531310.4%
 
1.64078974710.4%
 
1.62936234510.4%
 
1.58753693110.4%
 
1.58607435210.4%
 
1.57472264810.4%
 

oz14
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4454126358032227e-09
Minimum-1.5966583490371704
Maximum1.8376189470291135
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:48:49.352599image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.596658349
5-th percentile-1.429277354
Q1-0.8682096452
median-0.1555957571
Q30.8009306043
95-th percentile1.683644396
Maximum1.837618947
Range3.434277296
Interquartile range (IQR)1.669140249

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)691843960.9
Kurtosis-1.159595801
Mean1.445412636e-09
Median Absolute Deviation (MAD)0.8313520774
Skewness0.2307929773
Sum3.61353159e-07
Variance1.000000006
2020-08-25T00:48:49.457323image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.655269265210.4%
 
1.33526825910.4%
 
-0.469326436510.4%
 
-1.19727706910.4%
 
0.12465558210.4%
 
1.81967544610.4%
 
1.15119624110.4%
 
-1.00762355310.4%
 
0.334178000710.4%
 
-1.24535584410.4%
 
-0.430988401210.4%
 
1.79073131110.4%
 
0.610509216810.4%
 
-0.0126824956410.4%
 
-1.34991884210.4%
 
-0.798699438610.4%
 
-1.03737342410.4%
 
0.683878600610.4%
 
0.371656477510.4%
 
0.596140146310.4%
 
1.10180854810.4%
 
0.0185745190810.4%
 
-0.24332243210.4%
 
-0.866840958610.4%
 
0.683290064310.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.59665834910.4%
 
-1.57132387210.4%
 
-1.57107198210.4%
 
-1.55514144910.4%
 
-1.54158294210.4%
 
-1.52666652210.4%
 
-1.51017165210.4%
 
-1.49987459210.4%
 
-1.49887156510.4%
 
-1.48448216910.4%
 
ValueCountFrequency (%) 
1.83761894710.4%
 
1.81967544610.4%
 
1.80372250110.4%
 
1.79073131110.4%
 
1.7798705110.4%
 
1.76337766610.4%
 
1.76017808910.4%
 
1.74472641910.4%
 
1.72963774210.4%
 
1.72761917110.4%
 

oz2
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8312206268310546e-10
Minimum-1.681897759437561
Maximum1.7525960206985474
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:48:49.579305image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.681897759
5-th percentile-1.520339775
Q1-0.8424280286
median0.04388334882
Q30.8395881802
95-th percentile1.565146399
Maximum1.752596021
Range3.43449378
Interquartile range (IQR)1.682016209

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)3532045475
Kurtosis-1.165024604
Mean2.831220627e-10
Median Absolute Deviation (MAD)0.8337933766
Skewness-0.01860540912
Sum7.078051567e-08
Variance1.000000001
2020-08-25T00:48:49.687824image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.46801894910.4%
 
-0.576828002910.4%
 
1.22010064110.4%
 
-1.24744224510.4%
 
-1.44958198110.4%
 
-0.0275154020610.4%
 
-1.39293825610.4%
 
1.72948455810.4%
 
1.49742448310.4%
 
0.888359367810.4%
 
1.60707104210.4%
 
0.742850005610.4%
 
-0.958181142810.4%
 
0.08241885910.4%
 
0.551926910910.4%
 
0.22220954310.4%
 
-0.900736331910.4%
 
0.769209384910.4%
 
0.189601764110.4%
 
-0.304850876310.4%
 
-1.50422704210.4%
 
1.4007095110.4%
 
-1.6054326310.4%
 
0.730625987110.4%
 
-1.51824629310.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.68189775910.4%
 
-1.67633175810.4%
 
-1.67437112310.4%
 
-1.67093443910.4%
 
-1.64980506910.4%
 
-1.61248576610.4%
 
-1.60947215610.4%
 
-1.60620009910.4%
 
-1.6054326310.4%
 
-1.58639645610.4%
 
ValueCountFrequency (%) 
1.75259602110.4%
 
1.74930274510.4%
 
1.73487687110.4%
 
1.72948455810.4%
 
1.71581411410.4%
 
1.68235063610.4%
 
1.65919399310.4%
 
1.64864170610.4%
 
1.63754224810.4%
 
1.62248206110.4%
 

oz23
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.924383342266083e-10
Minimum-1.7142374515533447
Maximum1.7628209590911863
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:48:49.806345image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.714237452
5-th percentile-1.539561588
Q1-0.881230399
median-0.003797246201
Q30.9404481202
95-th percentile1.546006125
Maximum1.762820959
Range3.477058411
Interquartile range (IQR)1.821678519

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)1444171922
Kurtosis-1.235070511
Mean6.924383342e-10
Median Absolute Deviation (MAD)0.9142453074
Skewness0.04177185388
Sum1.731095836e-07
Variance1
2020-08-25T00:48:49.910739image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.42968705310.4%
 
0.00665803719310.4%
 
1.52843093910.4%
 
-0.275245696310.4%
 
0.0310730803810.4%
 
-0.858440339610.4%
 
1.14934110610.4%
 
-0.292333573110.4%
 
-1.22206211110.4%
 
-0.315578520310.4%
 
-0.725282669110.4%
 
-0.882996857210.4%
 
0.0552653558610.4%
 
1.27583515610.4%
 
-0.0540658533610.4%
 
-1.59019470210.4%
 
0.212020561110.4%
 
1.22592771110.4%
 
0.600268006310.4%
 
-1.28838324510.4%
 
-1.25717294210.4%
 
-1.2571687710.4%
 
1.62630522310.4%
 
-0.500648677310.4%
 
-0.636873006810.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.71423745210.4%
 
-1.69334447410.4%
 
-1.67947447310.4%
 
-1.67276322810.4%
 
-1.66819000210.4%
 
-1.6551569710.4%
 
-1.62877392810.4%
 
-1.62345254410.4%
 
-1.59019470210.4%
 
-1.5884206310.4%
 
ValueCountFrequency (%) 
1.76282095910.4%
 
1.73944854710.4%
 
1.72365045510.4%
 
1.70957541510.4%
 
1.67870092410.4%
 
1.66120088110.4%
 
1.6600688710.4%
 
1.64217019110.4%
 
1.63181865210.4%
 
1.62630522310.4%
 

oz6
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.76837158203125e-10
Minimum-2.0978353023529053
Maximum2.8510434627532963
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:48:50.028161image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.097835302
5-th percentile-1.407912779
Q1-0.7930966914
median-0.1360928193
Q30.6605623811
95-th percentile1.727077848
Maximum2.851043463
Range4.948878765
Interquartile range (IQR)1.453659073

Descriptive statistics

Standard deviation0.9999999984
Coefficient of variation (CV)-2097151997
Kurtosis-0.2486738891
Mean-4.768371582e-10
Median Absolute Deviation (MAD)0.6996567771
Skewness0.4843885406
Sum-1.192092896e-07
Variance0.9999999967
2020-08-25T00:48:50.297433image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.576657354810.4%
 
-0.182659894210.4%
 
-0.158496901410.4%
 
-1.25234544310.4%
 
0.133104860810.4%
 
-0.0791866406810.4%
 
0.778999686210.4%
 
-0.82050216210.4%
 
-1.74256277110.4%
 
0.102421186910.4%
 
0.980157971410.4%
 
0.17219446610.4%
 
-0.864921808210.4%
 
0.634424030810.4%
 
-1.37143659610.4%
 
-0.0156455580110.4%
 
1.05997359810.4%
 
0.229778483510.4%
 
0.659834384910.4%
 
-0.188776612310.4%
 
-0.142740741410.4%
 
0.660805046610.4%
 
-1.13606071510.4%
 
1.28386163710.4%
 
0.467364102610.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-2.09783530210.4%
 
-1.91938936710.4%
 
-1.84621584410.4%
 
-1.74256277110.4%
 
-1.62200164810.4%
 
-1.59967720510.4%
 
-1.54105031510.4%
 
-1.49505770210.4%
 
-1.48324048510.4%
 
-1.4442677510.4%
 
ValueCountFrequency (%) 
2.85104346310.4%
 
2.7757487310.4%
 
2.68472385410.4%
 
2.4670901310.4%
 
2.37326288210.4%
 
2.33283734310.4%
 
2.11937761310.4%
 
2.04804468210.4%
 
2.04384183910.4%
 
1.9675861610.4%
 

oz3
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.451496683406276e-09
Minimum-1.970430850982666
Maximum3.165987491607666
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:48:50.405944image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.970430851
5-th percentile-1.342408413
Q1-0.7479276806
median-0.1382825151
Q30.598340854
95-th percentile1.944986081
Maximum3.165987492
Range5.136418343
Interquartile range (IQR)1.346268535

Descriptive statistics

Standard deviation0.9999999971
Coefficient of variation (CV)-183435862.7
Kurtosis0.1014725067
Mean-5.451496683e-09
Median Absolute Deviation (MAD)0.6809335873
Skewness0.6512793115
Sum-1.362874171e-06
Variance0.9999999943
2020-08-25T00:48:50.508514image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.081176608810.4%
 
0.293294459610.4%
 
-0.250581502910.4%
 
-1.57166051910.4%
 
0.825377821910.4%
 
-1.34801900410.4%
 
2.04759192510.4%
 
0.720391154310.4%
 
1.60874915110.4%
 
-0.572477340710.4%
 
-0.20097060510.4%
 
-1.67709779710.4%
 
0.388899356110.4%
 
-0.529222309610.4%
 
0.670845210610.4%
 
1.6888010510.4%
 
-0.751111805410.4%
 
-0.297443687910.4%
 
0.255708783910.4%
 
-0.0856175795210.4%
 
1.25324344610.4%
 
-0.0193459354310.4%
 
1.47980070110.4%
 
0.319167196810.4%
 
-0.918025672410.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.97043085110.4%
 
-1.72869241210.4%
 
-1.67709779710.4%
 
-1.62149620110.4%
 
-1.57166051910.4%
 
-1.52200806110.4%
 
-1.49322760110.4%
 
-1.48530614410.4%
 
-1.42453944710.4%
 
-1.42427194110.4%
 
ValueCountFrequency (%) 
3.16598749210.4%
 
2.78282570810.4%
 
2.72125434910.4%
 
2.64465689710.4%
 
2.59790563610.4%
 
2.38791394210.4%
 
2.36475896810.4%
 
2.24106717110.4%
 
2.09767866110.4%
 
2.08193659810.4%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.219356924295425e-09
Minimum-1.722777247428894
Maximum1.867612600326538
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:48:50.619524image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.722777247
5-th percentile-1.469291478
Q1-0.908650443
median-0.04024466313
Q30.8127616197
95-th percentile1.633835161
Maximum1.8676126
Range3.590389848
Interquartile range (IQR)1.721412063

Descriptive statistics

Standard deviation1.000000004
Coefficient of variation (CV)237002942
Kurtosis-1.100784861
Mean4.219356924e-09
Median Absolute Deviation (MAD)0.8625787739
Skewness0.1098587989
Sum1.054839231e-06
Variance1.000000009
2020-08-25T00:48:50.724587image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.48632764810.4%
 
0.666490197210.4%
 
-1.01502358910.4%
 
0.950869679510.4%
 
-0.0604744777110.4%
 
-0.75115740310.4%
 
1.04360127410.4%
 
-0.242598354810.4%
 
1.1312129510.4%
 
-1.67711007610.4%
 
-1.23695564310.4%
 
1.14194333610.4%
 
0.487632900510.4%
 
0.741866707810.4%
 
0.474523365510.4%
 
-1.36457669710.4%
 
-0.38214477910.4%
 
1.491524110.4%
 
-0.847989022710.4%
 
-0.788728773610.4%
 
-1.05987310410.4%
 
-0.0244797617210.4%
 
-0.669092595610.4%
 
1.39482474310.4%
 
-0.296214133510.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.72277724710.4%
 
-1.70907938510.4%
 
-1.70318436610.4%
 
-1.67995178710.4%
 
-1.67711007610.4%
 
-1.66638445910.4%
 
-1.62993872210.4%
 
-1.58378124210.4%
 
-1.56495082410.4%
 
-1.52554702810.4%
 
ValueCountFrequency (%) 
1.867612610.4%
 
1.86516642610.4%
 
1.83001732810.4%
 
1.81994593110.4%
 
1.78809678610.4%
 
1.78458285310.4%
 
1.78420364910.4%
 
1.78285789510.4%
 
1.77257108710.4%
 
1.72162580510.4%
 

oz16
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.278837539255619e-09
Minimum-1.7212003469467163
Maximum1.8349053859710691
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:48:50.841798image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.721200347
5-th percentile-1.503691423
Q1-0.8518312126
median-0.02593070548
Q30.8327309936
95-th percentile1.646848178
Maximum1.834905386
Range3.556105733
Interquartile range (IQR)1.684562206

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-304986138.5
Kurtosis-1.174687376
Mean-3.278837539e-09
Median Absolute Deviation (MAD)0.8476258218
Skewness0.08247056179
Sum-8.197093848e-07
Variance1
2020-08-25T00:48:50.946107image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.05761587610.4%
 
0.408128023110.4%
 
0.780870258810.4%
 
1.67124521710.4%
 
1.20359206210.4%
 
0.185344606610.4%
 
1.74056410810.4%
 
-0.904950976410.4%
 
-0.876462638410.4%
 
0.852893650510.4%
 
1.27864277410.4%
 
0.590489208710.4%
 
0.00739548588210.4%
 
-1.42413604310.4%
 
-0.772612452510.4%
 
0.244901031310.4%
 
1.71215212310.4%
 
-1.55927836910.4%
 
-1.21910369410.4%
 
-0.888615608210.4%
 
-1.61551761610.4%
 
-0.103655219110.4%
 
1.27296304710.4%
 
-0.0279605612210.4%
 
1.41139316610.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.72120034710.4%
 
-1.71474409110.4%
 
-1.70959329610.4%
 
-1.67502164810.4%
 
-1.61691045810.4%
 
-1.61551761610.4%
 
-1.60062801810.4%
 
-1.58000278510.4%
 
-1.55927836910.4%
 
-1.53946137410.4%
 
ValueCountFrequency (%) 
1.83490538610.4%
 
1.78985965310.4%
 
1.78516745610.4%
 
1.7807449110.4%
 
1.77911317310.4%
 
1.75473856910.4%
 
1.74056410810.4%
 
1.71502292210.4%
 
1.71215212310.4%
 
1.68526649510.4%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.735985279083252e-09
Minimum-1.630881428718567
Maximum1.7175761461257937
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:48:51.066570image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.630881429
5-th percentile-1.490645242
Q1-0.841898039
median-0.009828104172
Q30.9393842518
95-th percentile1.450455946
Maximum1.717576146
Range3.348457575
Interquartile range (IQR)1.781282291

Descriptive statistics

Standard deviation1.000000005
Coefficient of variation (CV)-576041754.1
Kurtosis-1.293715624
Mean-1.735985279e-09
Median Absolute Deviation (MAD)0.8871520758
Skewness0.04335871863
Sum-4.339963198e-07
Variance1.00000001
2020-08-25T00:48:51.170743image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.5624984510.4%
 
-1.51037287710.4%
 
0.810727298310.4%
 
1.39098632310.4%
 
0.488680571310.4%
 
-1.44077074510.4%
 
-0.317949950710.4%
 
1.3918114910.4%
 
-0.650546193110.4%
 
-0.813630700110.4%
 
-0.31697055710.4%
 
1.21612334310.4%
 
0.863919556110.4%
 
-0.534328222310.4%
 
-0.0250442158410.4%
 
-0.0294843837610.4%
 
-0.537714779410.4%
 
1.33272755110.4%
 
-1.39675903310.4%
 
-1.60867285710.4%
 
0.459129035510.4%
 
-1.13071441710.4%
 
-1.17604327210.4%
 
-0.504035532510.4%
 
1.40943574910.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.63088142910.4%
 
-1.6221369510.4%
 
-1.60867285710.4%
 
-1.58314549910.4%
 
-1.57298755610.4%
 
-1.57104301510.4%
 
-1.5624984510.4%
 
-1.54643821710.4%
 
-1.53562033210.4%
 
-1.51967382410.4%
 
ValueCountFrequency (%) 
1.71757614610.4%
 
1.67837393310.4%
 
1.66608965410.4%
 
1.66192698510.4%
 
1.59789657610.4%
 
1.54912102210.4%
 
1.53832173310.4%
 
1.53272271210.4%
 
1.52778482410.4%
 
1.51659154910.4%
 

oz5
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.0402873122927759e-09
Minimum-1.6411502361297607
Maximum4.297223091125488
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:48:51.282722image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.641150236
5-th percentile-1.072195858
Q1-0.7449292839
median-0.1903547198
Q30.4415072426
95-th percentile1.996178293
Maximum4.297223091
Range5.938373327
Interquartile range (IQR)1.186436526

Descriptive statistics

Standard deviation1.000000004
Coefficient of variation (CV)-961272902.5
Kurtosis2.298279658
Mean-1.040287312e-09
Median Absolute Deviation (MAD)0.5725670904
Skewness1.385604977
Sum-2.600718281e-07
Variance1.000000008
2020-08-25T00:48:51.382987image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.757809817810.4%
 
-0.325351923710.4%
 
-0.781073510610.4%
 
0.351308792810.4%
 
-1.10781633910.4%
 
-0.974805533910.4%
 
-0.884471833710.4%
 
0.172655403610.4%
 
-0.953316271310.4%
 
0.126737669110.4%
 
2.633665810.4%
 
-0.909852087510.4%
 
2.66283965110.4%
 
-0.275479525310.4%
 
0.153974562910.4%
 
0.020711639910.4%
 
-0.952962219710.4%
 
0.506012201310.4%
 
-0.550465166610.4%
 
-0.650596857110.4%
 
0.740107595910.4%
 
-0.542649269110.4%
 
1.61755311510.4%
 
-0.0731403753210.4%
 
-0.191812485510.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.64115023610.4%
 
-1.46370589710.4%
 
-1.44127905410.4%
 
-1.43258655110.4%
 
-1.31761944310.4%
 
-1.29417920110.4%
 
-1.21341788810.4%
 
-1.18804848210.4%
 
-1.15585124510.4%
 
-1.15218424810.4%
 
ValueCountFrequency (%) 
4.29722309110.4%
 
3.51978540410.4%
 
3.40536427510.4%
 
3.10937619210.4%
 
3.10630989110.4%
 
2.66283965110.4%
 
2.633665810.4%
 
2.60889959310.4%
 
2.58333063110.4%
 
2.52745628410.4%
 

oz21
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.8703285604715346e-09
Minimum-1.7802633047103882
Maximum1.6891977787017822
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:48:51.487211image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.780263305
5-th percentile-1.682484066
Q1-0.8169543445
median0.04580751527
Q30.8964547068
95-th percentile1.491071278
Maximum1.689197779
Range3.469461083
Interquartile range (IQR)1.713409051

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)-534665418.7
Kurtosis-1.133247923
Mean-1.87032856e-09
Median Absolute Deviation (MAD)0.8621729361
Skewness-0.1660327156
Sum-4.675821401e-07
Variance1.000000006
2020-08-25T00:48:51.592917image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.200805082910.4%
 
-0.3474889110.4%
 
1.55435764810.4%
 
-0.0713733360210.4%
 
-1.00524401710.4%
 
-0.998226940610.4%
 
1.12536144310.4%
 
1.32066214110.4%
 
1.39753937710.4%
 
-1.5094240910.4%
 
-0.789717793510.4%
 
0.43003153810.4%
 
-1.72493398210.4%
 
-1.61555719410.4%
 
-0.817543268210.4%
 
-1.28092312810.4%
 
-0.774097263810.4%
 
-0.0733221173310.4%
 
0.744234800310.4%
 
0.98574030410.4%
 
0.337348520810.4%
 
1.04951620110.4%
 
0.62074714910.4%
 
0.589007437210.4%
 
0.692465066910.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.78026330510.4%
 
-1.77736568510.4%
 
-1.774058710.4%
 
-1.76917552910.4%
 
-1.76871943510.4%
 
-1.75899982510.4%
 
-1.75707912410.4%
 
-1.72493398210.4%
 
-1.7203481210.4%
 
-1.70754218110.4%
 
ValueCountFrequency (%) 
1.68919777910.4%
 
1.66795253810.4%
 
1.65305197210.4%
 
1.61011910410.4%
 
1.5998272910.4%
 
1.55435764810.4%
 
1.53906810310.4%
 
1.5312379610.4%
 
1.52394115910.4%
 
1.51774704510.4%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6419216990470885e-09
Minimum-1.6955186128616333
Maximum1.725824952125549
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:48:51.708854image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.695518613
5-th percentile-1.568411517
Q1-0.8463678062
median-0.05814489536
Q30.8616143018
95-th percentile1.536743271
Maximum1.725824952
Range3.421343565
Interquartile range (IQR)1.707982108

Descriptive statistics

Standard deviation0.9999999966
Coefficient of variation (CV)609042439.2
Kurtosis-1.184230692
Mean1.641921699e-09
Median Absolute Deviation (MAD)0.8850053567
Skewness-0.01374525195
Sum4.104804248e-07
Variance0.9999999932
2020-08-25T00:48:51.809922image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.511715352510.4%
 
-0.451741814610.4%
 
0.379730492810.4%
 
1.39391636810.4%
 
-0.594418346910.4%
 
-0.598323166410.4%
 
-1.41441345210.4%
 
-0.538762688610.4%
 
-0.535326957710.4%
 
-1.57778465710.4%
 
-0.461830109410.4%
 
1.23763918910.4%
 
-1.03939437910.4%
 
0.868817150610.4%
 
-1.52669584810.4%
 
0.444010317310.4%
 
-0.2940135310.4%
 
-1.120431910.4%
 
0.602207243410.4%
 
-0.0872663855610.4%
 
0.113506093610.4%
 
-1.03643894210.4%
 
-0.830718398110.4%
 
-0.411452531810.4%
 
-0.0982042774610.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.69551861310.4%
 
-1.69106984110.4%
 
-1.68681156610.4%
 
-1.66882705710.4%
 
-1.65158510210.4%
 
-1.65086185910.4%
 
-1.6471847310.4%
 
-1.63217604210.4%
 
-1.63073277510.4%
 
-1.6226345310.4%
 
ValueCountFrequency (%) 
1.72582495210.4%
 
1.69643640510.4%
 
1.69380617110.4%
 
1.67116332110.4%
 
1.64556634410.4%
 
1.63927924610.4%
 
1.62061107210.4%
 
1.58829855910.4%
 
1.57989776110.4%
 
1.55118203210.4%
 

oz22
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.767890691757202e-09
Minimum-1.658689260482788
Maximum1.7281738519668581
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:48:51.924327image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.65868926
5-th percentile-1.549245781
Q1-0.8694669753
median0.03379011713
Q30.819860056
95-th percentile1.572185272
Maximum1.728173852
Range3.386863112
Interquartile range (IQR)1.689327031

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)-361285944.6
Kurtosis-1.161583635
Mean-2.767890692e-09
Median Absolute Deviation (MAD)0.8418713752
Skewness0.004148305688
Sum-6.919726729e-07
Variance1.000000006
2020-08-25T00:48:52.028785image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.876954972710.4%
 
-0.0166215393710.4%
 
-1.35778641710.4%
 
-0.216842502410.4%
 
-0.309660583710.4%
 
1.39098370110.4%
 
-0.564629435510.4%
 
0.270595490910.4%
 
-0.2943874310.4%
 
-1.08920764910.4%
 
-1.28150868410.4%
 
-0.735509574410.4%
 
0.756503820410.4%
 
0.0372715555110.4%
 
-1.65557789810.4%
 
-1.59599673710.4%
 
1.05784332810.4%
 
-0.388988673710.4%
 
0.134678974710.4%
 
-0.291329890510.4%
 
-1.31473195610.4%
 
0.549455404310.4%
 
-1.33426070210.4%
 
-0.770482063310.4%
 
1.50807511810.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.6586892610.4%
 
-1.65557789810.4%
 
-1.64710855510.4%
 
-1.62950754210.4%
 
-1.62944495710.4%
 
-1.61486148810.4%
 
-1.61255013910.4%
 
-1.60629355910.4%
 
-1.59599673710.4%
 
-1.58396422910.4%
 
ValueCountFrequency (%) 
1.72817385210.4%
 
1.72332453710.4%
 
1.71654343610.4%
 
1.71050393610.4%
 
1.70174574910.4%
 
1.67684888810.4%
 
1.67652189710.4%
 
1.63390576810.4%
 
1.61495554410.4%
 
1.60011649110.4%
 

oz19
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.87664544582367e-10
Minimum-1.6193066835403442
Maximum1.7941222190856934
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:48:52.148936image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.619306684
5-th percentile-1.448427427
Q1-0.8964478374
median-0.07903413102
Q30.8098935485
95-th percentile1.647306079
Maximum1.794122219
Range3.413428903
Interquartile range (IQR)1.706341386

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)1701651071
Kurtosis-1.237710286
Mean5.876645446e-10
Median Absolute Deviation (MAD)0.8589989841
Skewness0.1555015998
Sum1.469161361e-07
Variance1.000000004
2020-08-25T00:48:52.254301image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.458903610710.4%
 
-1.22199761910.4%
 
-0.668371081410.4%
 
0.778991639610.4%
 
0.94345480210.4%
 
1.03063213810.4%
 
0.102066658410.4%
 
-1.60542964910.4%
 
1.23667609710.4%
 
-0.954761564710.4%
 
-0.720385611110.4%
 
0.810345351710.4%
 
0.673994302710.4%
 
-0.757974684210.4%
 
0.304523199810.4%
 
-1.12922096310.4%
 
-0.832161366910.4%
 
0.559727489910.4%
 
-0.442215949310.4%
 
0.916169166610.4%
 
1.14874589410.4%
 
1.59697973710.4%
 
-1.44756865510.4%
 
-0.0149940652810.4%
 
0.516748964810.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.61930668410.4%
 
-1.60542964910.4%
 
-1.58875405810.4%
 
-1.56816923610.4%
 
-1.56612825410.4%
 
-1.56546890710.4%
 
-1.53784465810.4%
 
-1.53168165710.4%
 
-1.50838661210.4%
 
-1.50539135910.4%
 
ValueCountFrequency (%) 
1.79412221910.4%
 
1.78600275510.4%
 
1.77893352510.4%
 
1.76553165910.4%
 
1.71450841410.4%
 
1.71166551110.4%
 
1.70282483110.4%
 
1.69189393510.4%
 
1.67873442210.4%
 
1.67770457310.4%
 

target
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.110835000872612e-09
Minimum-2.5650289058685303
Maximum3.222853183746338
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:48:52.371283image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.565028906
5-th percentile-1.796806341
Q1-0.6316575408
median0.06634236872
Q30.6885833442
95-th percentile1.464776248
Maximum3.222853184
Range5.78788209
Interquartile range (IQR)1.320240885

Descriptive statistics

Standard deviation0.9999999998
Coefficient of variation (CV)-900223704.7
Kurtosis-0.04709769608
Mean-1.110835001e-09
Median Absolute Deviation (MAD)0.6353498846
Skewness-0.1656551401
Sum-2.777087502e-07
Variance0.9999999997
2020-08-25T00:48:52.474404image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.259765416410.4%
 
-1.53321003910.4%
 
-0.13407619310.4%
 
0.831224679910.4%
 
0.378943264510.4%
 
0.699383854910.4%
 
-0.677780032210.4%
 
0.612468004210.4%
 
-1.34641253910.4%
 
0.777505099810.4%
 
-0.717444062210.4%
 
1.00784814410.4%
 
-0.150107815910.4%
 
-0.662262618510.4%
 
-1.0754971510.4%
 
-1.38798832910.4%
 
0.75601029410.4%
 
0.444163978110.4%
 
-2.56502890610.4%
 
-2.13337826710.4%
 
0.207188278410.4%
 
0.0408412478910.4%
 
0.594863891610.4%
 
0.631008386610.4%
 
-0.0793853998210.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-2.56502890610.4%
 
-2.18371820410.4%
 
-2.15630388310.4%
 
-2.13337826710.4%
 
-2.13127493910.4%
 
-2.12783670410.4%
 
-2.09571504610.4%
 
-1.96386957210.4%
 
-1.92618465410.4%
 
-1.92578756810.4%
 
ValueCountFrequency (%) 
3.22285318410.4%
 
2.80067849210.4%
 
2.16988730410.4%
 
2.0235159410.4%
 
1.92455649410.4%
 
1.84787583410.4%
 
1.79952919510.4%
 
1.71345937310.4%
 
1.65649449810.4%
 
1.58202803110.4%
 

Interactions

2020-08-25T00:47:54.071664image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:54.202329image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:54.327460image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:54.448027image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:54.579184image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:54.706842image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:54.833039image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:54.960830image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:55.089402image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:55.215716image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:55.339242image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:55.464024image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:55.597419image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:55.727779image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:56.022012image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:56.146549image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:56.272609image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:56.402921image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:56.533545image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:56.666709image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:56.791340image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:57.006615image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:57.147679image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:57.268995image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:57.403463image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:57.532166image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:57.667449image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:57.806245image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:57.935375image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:58.063622image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:58.188570image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:58.310565image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:58.442019image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:58.575579image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:58.703841image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:58.825047image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:58.952216image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:59.080464image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:59.207906image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:59.336583image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:59.459894image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:59.575127image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:59.693567image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:47:59.800306image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:00.082911image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:00.200666image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:00.315778image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:00.437562image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:00.553574image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:00.672215image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:00.783443image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:00.894010image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:01.014012image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:01.135703image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:01.254331image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:01.365380image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:01.480818image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:01.598135image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:01.723069image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:01.839317image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:01.950507image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:02.079120image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:02.208520image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:02.324189image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:02.457403image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:02.585850image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:02.714715image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:02.863248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:02.989936image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:03.117959image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:03.241735image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:03.364030image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:03.497510image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:48:31.318181image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:31.444958image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:31.564131image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:31.687237image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:31.800652image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:31.922630image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:32.045291image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:32.172280image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:32.307408image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:32.428710image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:32.548857image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:32.669266image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:32.787940image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:32.913075image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:33.038471image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:33.160404image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:33.275983image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:33.396141image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:33.528174image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:33.653063image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:33.777385image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:33.893789image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:34.020607image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:34.151860image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:34.277845image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:34.405375image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:34.532803image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:34.657804image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:34.790929image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:34.917471image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:35.222290image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:35.344564image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:35.466580image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:35.598157image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:35.730416image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:35.858643image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:35.981338image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:36.109066image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:36.237132image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:36.366592image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:36.495224image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:36.618915image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:36.748672image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:36.876774image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:36.994957image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:37.121273image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:37.251263image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:37.379962image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:37.511568image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:37.639110image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:37.768332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:37.894249image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:38.014877image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:38.145208image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:38.277452image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:38.405589image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:38.527210image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:38.653821image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:38.782212image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:39.075651image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:39.202507image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:39.328346image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:39.455161image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:39.582470image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:39.700983image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:39.831918image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:39.959040image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:40.086824image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:40.219512image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:40.350133image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:40.477132image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:40.599173image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:40.727921image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:40.861177image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:40.995831image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:41.123326image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:41.245481image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:41.376416image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:41.500147image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:41.627766image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:41.753863image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:41.881272image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:42.009206image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:42.135190image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:42.254464image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:42.384175image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:42.510044image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:42.639753image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:42.942596image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:43.070338image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:43.196830image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:43.318287image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:43.441133image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:43.571417image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:43.703965image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:43.839064image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:43.965481image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:44.092709image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:44.218698image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:44.346862image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:44.476977image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:44.600361image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:44.722621image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:44.849416image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:44.962219image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:45.084265image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:45.205073image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:45.327513image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:45.459244image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:45.581175image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:45.702926image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:45.818129image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:45.936103image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:46.061054image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:46.185765image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:46.305457image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:46.420880image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:46.542117image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:46.839893image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:46.965851image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:47.088732image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:48:52.623842image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:48:52.926677image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:48:53.235781image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:48:53.702470image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:48:47.363048image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:48:47.833365image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
0-0.036023-0.216091-0.0110330.699208-0.9319521.1664690.470697-0.6253090.8617301.090535-0.7645841.308632-1.162205-1.494503-0.7797621.0306500.4440100.5118071.7028250.600075
10.8486700.3702610.5826080.218772-0.3082950.4350660.6961220.0917970.5373811.9452250.2932941.8199461.450137-0.4259950.3453511.3570790.7384251.495301-1.501298-0.542736
2-0.1127350.366363-0.224000-0.202602-1.7504770.1953421.335268-0.4143870.0411890.659834-1.090939-0.8482871.376546-1.176043-0.939616-0.980580-1.0856521.452016-1.2239720.703895
3-0.3744900.4456060.970021-1.354514-1.2095051.3928200.5069311.497424-1.257169-1.2551610.803058-1.355012-0.331023-0.2474290.996461-1.1079220.093469-0.881934-1.331589-0.423975
4-0.5429361.367821-0.2994281.0246621.543637-0.9783810.0894130.1676150.1965070.591161-0.8120210.422479-0.208746-1.630881-1.152184-1.048451-0.806527-0.2541050.5167490.059986
5-0.0439461.021522-1.480520-0.103019-0.4393021.0012870.018575-1.2493851.0051230.484379-1.136654-0.213409-0.218838-1.318119-0.8555140.4246681.3605170.1124770.674049-0.465883
6-1.244245-1.7012881.6383880.3471681.723742-1.4885591.4757470.9948890.938758-1.4832401.935276-1.3543620.9443301.2477452.662840-0.2354300.642015-1.444641-0.7043090.638003
70.683467-1.549634-1.3498281.084128-1.0278410.0042250.596140-1.2886910.3895821.029799-0.701670-1.5034970.4506271.401904-1.0331470.702681-1.6321760.6346150.0020160.384727
81.080691-0.357709-0.160766-1.096813-0.7620820.759134-0.639094-0.799170-1.1988600.016412-0.1753990.118237-0.978871-0.485564-0.1888970.2520351.128746-0.091237-0.8402510.612468
9-1.589794-0.3513351.769100-0.075618-0.219932-1.292530-1.2816111.6224821.451855-1.541050-0.2974441.8676131.107487-1.510373-0.0285030.7839490.5307200.285510-0.3250680.255055

Last rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
240-1.1675151.039766-1.943067-0.8695970.726094-0.6462991.291050-1.440965-0.708841-0.869023-0.811167-1.4956090.9325411.666090-0.8600730.509704-1.5569551.0487420.0169400.475104
241-1.661053-0.211922-0.7690370.9337830.8604761.546659-0.5544120.233298-0.4072541.200688-1.5716610.9163721.685266-1.583145-1.032379-0.855392-1.1322321.5929160.4121440.836473
242-0.349891-0.537439-0.872961-1.0396890.0114481.6669670.940269-1.0173950.9410110.252605-0.9066660.666490-0.609489-0.016798-0.8898510.244505-0.966544-1.3436730.9568900.259765
2430.9693190.3597300.6155040.674053-0.4066731.5682621.7633780.8011940.4585811.1259140.7539960.5649420.1040600.4591290.5315371.531238-1.367029-0.2943871.139655-1.497519
2440.209190-0.0712061.2495490.5179051.5838260.658842-0.9211141.729485-0.9035510.4153392.3647591.495289-0.1382421.2245292.331617-0.646563-1.595038-1.614861-1.4491301.847876
245-0.521880-1.3659530.163541-0.873801-0.686872-1.5250470.576805-0.6345421.221626-0.4818260.0913400.0019810.4821610.9959120.2336081.5177471.4474940.024395-0.6663141.582028
246-1.1304830.3293080.667298-1.388771-0.760429-0.956942-0.0194741.0225091.049062-0.1887770.8043451.8300170.271043-0.2269200.617542-0.109296-0.279760-0.2414230.302309-1.925788
2470.1461760.081122-1.5619210.203166-0.733034-0.0775421.370635-1.5182460.130199-0.799447-0.2657300.5310741.0825870.120310-0.3980490.061785-0.398366-1.451297-0.799375-0.407426
248-1.182620-1.268325-0.514444-0.063606-0.4316490.563448-0.986876-1.0685260.8792950.241909-0.738375-0.053053-0.503345-0.032068-0.6915220.5479651.6455660.089790-0.2861330.686137
249-0.185795-1.297366-1.125669-1.609730-0.3249001.089622-0.824742-1.0642931.205628-0.843632-0.9180261.353168-0.8333300.528588-0.7633041.2662460.9897900.8155040.1761260.589226